SELECTION OF ROBUST OPERATING CONDITION FOR UPFC-BASED STABILIZER BASED ON MULTI-OBJECTIVE EVOLUTIONARY ALGORITHM

In this paper, the problem of selecting the robust operating condition for design of UPFC-based stabilizer in bulk power system is discussed. It can be formulated as a multi-objective problem, in which, two objectives should be taken into account. Not only the operating condition where the minimum damping torque is provided by the UPFC-based stabilizer should be identified, but also the performance of stabilizer should be verified at the operating condition where the total damping torque of the system is minimum. A multi-objective evolutionary algorithm (MOEA) is proposed to get the tradeoff relationship of these two objectives and select the proper solution, which adopt fuzzy correction, niche and Elitism strategy. The algorithm gives a very high efficiency of convergency. As an example, the proposed method is used in the New England power system. Pareto optimal solution of this multi-objective problem is obtained.